Generative Poisoning Attack Method Against Neural Networks

3 March 2017

Yiran Chen

Papers citing "Generative Poisoning Attack Method Against Neural Networks"

50 / 99 papers shown

Title
Data Poisoning in Deep Learning: A Survey Pinlong Zhao Weiyao Zhu Pengfei Jiao Di Gao Ou Wu AAML 44 0 0 27 Mar 2025
Poisoning Bayesian Inference via Data Deletion and Replication Matthieu Carreau Roi Naveiro William N. Caballero AAML KELM 61 0 0 06 Mar 2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models Niccolò Turcato Matteo Iovino Aris Synodinos Alberto Dalla Libera R. Carli Pietro Falco LM&Ro 43 0 0 06 Mar 2025
CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Atmane Ayoub Mansour Bahar Kamel Soaid Ferrahi Mohamed-Lamine Messai H. Seba Karima Amrouche 41 0 0 08 Jan 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 61 1 0 07 Oct 2024
PACE: Poisoning Attacks on Learned Cardinality Estimation Jintao Zhang Chao Zhang Guoliang Li Chengliang Chai 30 8 0 24 Sep 2024
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis Takuto Onikubo Yusuke Matsui DiffM AAML 31 1 0 12 Sep 2024
A Survey of Trojan Attacks and Defenses to Deep Neural Networks Lingxin Jin Xianyu Wen Wei Jiang Jinyu Zhan AAML 41 1 0 15 Aug 2024
Algorithmic Complexity Attacks on Dynamic Learned Indexes Rui Yang Evgenios M. Kornaropoulos Yue Cheng AAML 49 2 0 19 Mar 2024
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking Weixiang Sun Yixin Liu Zhiling Yan Kaidi Xu Lichao Sun AAML 40 3 0 15 Mar 2024
Quantifying and Mitigating Privacy Risks for Tabular Generative Models Chaoyi Zhu Jiayi Tang Hans Brouwer Juan F. Pérez Marten van Dijk Lydia Y. Chen 63 5 0 12 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks Ehsan Nowroozi Imran Haider R. Taheri Mauro Conti AAML 34 5 0 05 Mar 2024
Preference Poisoning Attacks on Reward Model Learning Junlin Wu Jiong Wang Chaowei Xiao Chenguang Wang Ning Zhang Yevgeniy Vorobeychik AAML 32 5 0 02 Feb 2024
Manipulating Predictions over Discrete Inputs in Machine Teaching Xiaodong Wu Yufei Han H. Dahrouj Jianbing Ni Zhenwen Liang Xiangliang Zhang 23 0 0 31 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 47 3 0 22 Jan 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models Jiong Wang Junlin Wu Muhao Chen Yevgeniy Vorobeychik Chaowei Xiao AAML 29 13 0 16 Nov 2023
Machine Unlearning Methodology base on Stochastic Teacher Network Xulong Zhang Jianzong Wang Ning Cheng Yifu Sun Chuanyao Zhang Jing Xiao MU 29 4 0 28 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 37 5 0 16 Aug 2023
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models Sanghyeon Park Junmo Lee Soo-Mook Moon 48 1 0 06 May 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling Ethan Wisdom Tejas Gokhale Chaowei Xiao Yezhou Yang 31 0 0 30 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models H. M. Dolatabadi S. Erfani C. Leckie DiffM 54 17 0 15 Mar 2023
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 26 18 0 03 Jan 2023
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 19 2 0 20 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 48 31 0 18 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 29 7 0 04 Dec 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 33 4 0 20 Oct 2022
Few-shot Backdoor Attacks via Neural Tangent Kernels J. Hayase Sewoong Oh 38 21 0 12 Oct 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 39 11 0 23 Aug 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks Shutong Wu Sizhe Chen Cihang Xie Xiaolin Huang AAML 51 27 0 24 May 2022
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuai Wang J. Hayase Giulia Fanti Sewoong Oh FedML 33 5 0 24 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 39 41 0 13 May 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 27 119 0 04 May 2022
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning Shaopeng Fu Fengxiang He Yang Liu Li Shen Dacheng Tao 29 24 0 28 Mar 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Privacy protection based on mask template Hao Wang Yunkun Bai Guangmin Sun Jie Liu PICV 16 0 0 13 Feb 2022
A Survey on Poisoning Attacks Against Supervised Machine Learning Wenjun Qiu AAML 36 9 0 05 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 24 5 0 03 Feb 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 30 34 0 29 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 51 50 0 17 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics Haya Brama L. Dery Tal Grinshpoun AAML 19 7 0 10 Jan 2022
Distributed Machine Learning and the Semblance of Trust Dmitrii Usynin Alexander Ziller Daniel Rueckert Jonathan Passerat-Palmbach Georgios Kaissis 24 1 0 21 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 50 42 0 01 Dec 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 48 214 0 23 Aug 2021
Poisoning Online Learning Filters: DDoS Attacks and Countermeasures W. Tann E. Chang AAML 8 0 0 27 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
Poisoning the Search Space in Neural Architecture Search Robert Wu Nayan Saxena Rohan Jain OOD AAML 17 1 0 28 Jun 2021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger Fanchao Qi Mukai Li Yangyi Chen Zhengyan Zhang Zhiyuan Liu Yasheng Wang Maosong Sun SILM 19 223 0 26 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 25 86 0 08 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 29 150 0 22 Apr 2021